- Company Name
- TeamWork Corporate
- Job Title
- Data Architect Senior (H/F)
- Job Description
-
**Job Title**
Senior Data Architect
**Role Summary**
Design and implement data solutions that align with clients’ strategic goals. Lead technical architecture from pre‑sales through delivery, mentor engineering teams, and ensure best‑practice standards across projects.
**Expectations**
- Deliver enterprise‑scale analytical architectures.
- Provide technical leadership and quality assurance.
- Apply modern cloud architectures (Data Warehouse, LakeHouse, DataMesh).
- Drive innovation and maintain up‑to‑date domain expertise.
**Key Responsibilities**
1. **Requirements & Scope Analysis** – Gather and qualify business and technical needs, identify data‑management challenges.
2. **Data Architecture Design** – Define, document, and implement Modern Data Warehouse, LakeHouse, DataMesh, and related solutions.
3. **Technical Leadership** – Guide consultants and engineers, review deliverables, enforce quality and compliance.
4. **Cross‑Disciplinary Collaboration** – Work with BI, Big Data, IoT, AI teams; advise on technology selection.
5. **Best‑Practice Promotion** – Champion Zero Trust Security, DataOps, IaC, automated testing, and other governance practices.
6. **Innovation & Consulting** – Provide strategic insights, stay current with emerging data technologies, contribute to thought leadership.
**Required Skills**
- **Data & Analytics** – Advanced SQL, ETL/ELT design, Python/R for analytics, experience with Azure Data Factory, Power BI.
- **Modern Data Platforms** – Proficient with Azure, MSBI, SQL Server; knowledge of AWS, Snowflake, Databricks, Hadoop, Spark, Kafka.
- **Architectural Principles** – Security, high availability, scalability, confidentiality, Data Mesh concepts.
- **Cloud Services** – Design and deploy data solutions on Azure or AWS.
- **Soft Skills** – Proactive, problem‑solving, continuous learning, autonomous yet collaborative.
**Required Education & Certifications**
- Bachelor’s degree in Computer Science, Information Systems, or related field.
- Relevant certifications (e.g., Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Analytics – Specialty, Snowflake SnowPro, Databricks Certified Associate).
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